The Russia-Ukraine conflict remains unresolved,while the armed conflict between Israel and Palestine continues to escalate,causing significant civilian casualties.To better protect the victims of war in armed conflict...The Russia-Ukraine conflict remains unresolved,while the armed conflict between Israel and Palestine continues to escalate,causing significant civilian casualties.To better protect the victims of war in armed conflicts,clarifying the applicability of international human rights law(IHRL)and international humanitarian law(IHL)in such contexts has become an urgent issue.A comparative study on the application of IHRL and IHL needs to address three key questions step by step:First,whether IHRL is applicable during armed conflicts;second,if applicable,how IHRL complements and interacts with IHL;and third,what methods should be adopted to resolve conflicts when IHRL and IHL are applied concurrently.In this context,an analysis of the historical development of IHRL and IHL reveals that the two share a common philosophical foundation,and thus they can be applied concurrently during armed conflicts.From an empirical perspective,IHRL engages with IHL through two approaches:interpreting IHL provisions and directly applying IHRL to armed conflicts,thereby fostering interactive development between the two.In cases where normative conflicts arise between IHRL and IHL,such as in the rules on the use of force and internment procedures,the principles of systemic integration and lex specialis can reconcile these conflicts during the application process.展开更多
ropic 1:Regarding sustainable development and global public interests,what should international Al standards focus on?James Ong:Since 2019,I have witnessed the evolution of WAIC and found that a consensus on the philo...ropic 1:Regarding sustainable development and global public interests,what should international Al standards focus on?James Ong:Since 2019,I have witnessed the evolution of WAIC and found that a consensus on the philosophical and ethic level on advocating“AI for humanity”is necessary,since ethics factor carries more weight in standards development.I want to emphasize three points:AI assisting sustainable development,AI empowering a balanced global development,and human-AI coordination for preventing AI risks.展开更多
In the context of the rapid iteration of information technology,the Internet of Things(IoT)has established itself as a pivotal hub connecting the digital world and the physical world.Wireless Sensor Networks(WSNs),dee...In the context of the rapid iteration of information technology,the Internet of Things(IoT)has established itself as a pivotal hub connecting the digital world and the physical world.Wireless Sensor Networks(WSNs),deeply embedded in the perception layer architecture of the IoT,play a crucial role as“tactile nerve endings.”A vast number of micro sensor nodes are widely distributed in monitoring areas according to preset deployment strategies,continuously and accurately perceiving and collecting real-time data on environmental parameters such as temperature,humidity,light intensity,air pressure,and pollutant concentration.These data are transmitted to the IoT cloud platform through stable and reliable communication links,forming a massive and detailed basic data resource pool.By using cutting-edge big data processing algorithms,machine learning models,and artificial intelligence analysis tools,in-depth mining and intelligent analysis of these multi-source heterogeneous data are conducted to generate high-value-added decision-making bases.This precisely empowers multiple fields,including agriculture,medical and health care,smart home,environmental science,and industrial manufacturing,driving intelligent transformation and catalyzing society to move towards a new stage of high-quality development.This paper comprehensively analyzes the technical cores of the IoT and WSNs,systematically sorts out the advanced key technologies of WSNs and the evolution of their strategic significance in the IoT system,deeply explores the innovative application scenarios and practical effects of the two in specific vertical fields,and looks forward to the technological evolution trends.It provides a detailed and highly practical guiding reference for researchers,technical engineers,and industrial decision-makers.展开更多
As an appropriate technique in Traditional Chinese Medicine nursing,intradermal acupuncture involves inserting a small needle into the skin at an acupoint or within the skin to treat diseases.This fully embodies the c...As an appropriate technique in Traditional Chinese Medicine nursing,intradermal acupuncture involves inserting a small needle into the skin at an acupoint or within the skin to treat diseases.This fully embodies the characteristics of Traditional Chinese Medicine nursing techniques:simplicity,convenience,affordability,and effectiveness.Currently,intradermal acupuncture has been widely used in clinical practice.This paper introduces the history,mechanism of action,and principle of acupoint selection of intradermal acupuncture and summarizes the application of intradermal acupuncture in common internal medicine diseases to promote their dissemination and use.展开更多
Low-concentration coal mine methane(LC-CMM),which is predominantly composed of methane,serves as a clean and low-carbon energy resource with significant potential for utilization.Utilizing LC-CMM as fuel for solid oxi...Low-concentration coal mine methane(LC-CMM),which is predominantly composed of methane,serves as a clean and low-carbon energy resource with significant potential for utilization.Utilizing LC-CMM as fuel for solid oxide fuel cells(SOFCs)represents an efficient and promising strategy for its effective utilization.However,direct application in Ni-based anodes induces carbon deposition,which severely degrades cell performance.Herein,a medium-entropy oxide Sr_(2)FeNi_(0.1)Cr_(0.3)Mn_(0.3)Mo_(0.3)O_(6−δ)(SFNCMM)was developed as an anode internal reforming catalyst.Following reduction treatment,FeNi_(3) nano-alloy particles precipitate on the surface of the material,thereby significantly enhancing its catalytic activity for LC-CMM reforming process.The catalyst achieved a methane conversion rate of 53.3%,demonstrating excellent catalytic performance.Electrochemical evaluations revealed that SFNCMM-Gd_(0.1)Ce_(0.9)O_(2−δ)(GDC)with a weight ratio of 7:3 exhibited superior electrochemical performance when employed as the anodic catalytic layer.With H_(2) and LC-CMM as fuels,the single cell achieved maximum power densities of 1467.32 and 1116.97 mW·cm^(−2) at 800℃,respectively,with corresponding polarization impedances of 0.17 and 1.35Ω·cm^(2).Furthermore,the single cell maintained stable operation for over 100 h under LC-CMM fueling without significant carbon deposition,confirming its robust resistance to carbon formation.These results underscore the potential of medium-entropy oxides as highly effective catalytic layers for mitigating carbon deposition in SOFCs.展开更多
IoT has emerged as a game-changing technology that connects numerous gadgets to networks for communication,processing,and real-time monitoring across diverse applications.Due to their heterogeneous nature and constrai...IoT has emerged as a game-changing technology that connects numerous gadgets to networks for communication,processing,and real-time monitoring across diverse applications.Due to their heterogeneous nature and constrained resources,as well as the growing trend of using smart gadgets,there are privacy and security issues that are not adequately managed by conventional securitymeasures.This review offers a thorough analysis of contemporary AI solutions designed to enhance security within IoT ecosystems.The intersection of AI technologies,including ML,and blockchain,with IoT privacy and security is systematically examined,focusing on their efficacy in addressing core security issues.The methodology involves a detailed exploration of existing literature and research on AI-driven privacy-preserving security mechanisms in IoT.The reviewed solutions are categorized based on their ability to tackle specific security challenges.The review highlights key advancements,evaluates their practical applications,and identifies prevailing research gaps and challenges.The findings indicate that AI solutions,particularly those leveraging ML and blockchain,offerpromising enhancements to IoT privacy and security by improving threat detection capabilities and ensuring data integrity.This paper highlights how AI technologies might strengthen IoT privacy and security and offer suggestions for upcoming studies intended to address enduring problems and improve the robustness of IoT networks.展开更多
In today’s digital world,the Internet of Things(IoT)plays an important role in both local and global economies due to its widespread adoption in different applications.This technology has the potential to offer sever...In today’s digital world,the Internet of Things(IoT)plays an important role in both local and global economies due to its widespread adoption in different applications.This technology has the potential to offer several advantages over conventional technologies in the near future.However,the potential growth of this technology also attracts attention from hackers,which introduces new challenges for the research community that range from hardware and software security to user privacy and authentication.Therefore,we focus on a particular security concern that is associated with malware detection.The literature presents many countermeasures,but inconsistent results on identical datasets and algorithms raise concerns about model biases,training quality,and complexity.This highlights the need for an adaptive,real-time learning framework that can effectively mitigate malware threats in IoT applications.To address these challenges,(i)we propose an intelligent framework based on Two-step Deep Reinforcement Learning(TwStDRL)that is capable of learning and adapting in real-time to counter malware threats in IoT applications.This framework uses exploration and exploitation phenomena during both the training and testing phases by storing results in a replay memory.The stored knowledge allows the model to effectively navigate the environment and maximize cumulative rewards.(ii)To demonstrate the superiority of the TwStDRL framework,we implement and evaluate several machine learning algorithms for comparative analysis that include Support Vector Machines(SVM),Multi-Layer Perceptron,Random Forests,and k-means Clustering.The selection of these algorithms is driven by the inconsistent results reported in the literature,which create doubt about their robustness and reliability in real-world IoT deployments.(iii)Finally,we provide a comprehensive evaluation to justify why the TwStDRL framework outperforms them in mitigating security threats.During analysis,we noted that our proposed TwStDRL scheme achieves an average performance of 99.45%across accuracy,precision,recall,and F1-score,which is an absolute improvement of roughly 3%over the existing malware-detection models.展开更多
Objective:To explore the application effect of Problem-Based Learning(PBL)teaching method based on situational simulation videos in undergraduate teaching of internal medicine,and to provide practical basis for optimi...Objective:To explore the application effect of Problem-Based Learning(PBL)teaching method based on situational simulation videos in undergraduate teaching of internal medicine,and to provide practical basis for optimizing the undergraduate teaching mode of internal medicine and improving teaching quality.Methods:A total of 32 undergraduate students majoring in clinical medicine(Grade 2021)from Shanghai University of Medicine&Health Sciences were selected as the research subjects.They were divided into an experimental group and a control group by random number table method,with 16 students in each group.The control group adopted the traditional PBL teaching method,while the experimental group used the PBL teaching method based on situational simulation videos.After the teaching,the mastery of theoretical knowledge of students in the two groups was evaluated by examinations;a questionnaire survey was conducted to assess students’self-perceived improvement in clinical thinking,learning interest,self-directed learning ability and teamwork ability;statistical methods were used to analyze the data.Results:The scores of theoretical knowledge examination of students in the experimental group were significantly higher than those in the control group,and the difference was statistically significant(p<0.05).In terms of self-evaluation,the experimental group showed better performance than the control group in the cultivation of clinical thinking,learning interest and selfdirected learning ability,with statistically significant differences(p<0.05);however,there was no statistically significant difference in the self-evaluation of teamwork ability between the two groups(p>0.05).Conclusion:The PBL teaching method based on situational simulation videos can effectively improve students’level of theoretical knowledge,enhance their clinical thinking,learning interest and self-directed learning ability in undergraduate teaching of internal medicine,and is worthy of further promotion and application in undergraduate teaching of internal medicine.展开更多
Internal multiple interference,affecting both seismic data processing and interpretation,has been observed for long time.Although great progress has been achieved in developing a variety of internal-multiple-eliminati...Internal multiple interference,affecting both seismic data processing and interpretation,has been observed for long time.Although great progress has been achieved in developing a variety of internal-multiple-elimination(IME)methods,how to increase accuracy and reduce cost of IME still poses a significant challenge.A new method is proposed to effectively and efficiently eliminate internal multi-ples,along with its application in internal-multiple-eliminated-migration(IMEM),addressing this issue.This method stems from two-way wave equation depth-extrapolation scheme and associated up/down wavefield separation,which can accomplish depth-extrapolation of both up-going and down-going wavefields simultaneously,and complete internal-multiple-elimination processing,adaptively and effi-ciently.The proposed method has several features:(1)input data is same as that for conventional migration:source signature(used for migration only),macro velocity model,and receiver data,without additional requirements for source/receiver sampling;(2)method is efficient,without need of iterative calculations(which are typically needed for most of IME algorithms);and(3)method is cost effective:IME is completed in the same depth-extrapolation scheme of IMEM,without need of a separate pro-cessing and additional cost.Several synthesized data models are used to test the proposed method:one-dimensional model,horizontal layered model,multi-layer model with one curved layer,and SEG/EAGE Salt model.Additionally,we perform a sensitivity analysis of velocity using smoothed models.This analysis reveals that although the accuracy of velocity measurements impacts our proposed method,it significantly reduces internal multiple false imaging compared to traditional RTM techniques.When applied to actual seismic data from a carbonate reservoir zone,our method demonstrates superior clarity in imaging results,even in the presence of high-velocity carbonate formations,outperforming conven-tional migration methods in deep strata.展开更多
[Objectives]To explore the effectiveness of integrating ideological and political education based on the Nightingale spirit into the clinical practice curriculum for nursing interns.[Methods]A total of 90 questionnair...[Objectives]To explore the effectiveness of integrating ideological and political education based on the Nightingale spirit into the clinical practice curriculum for nursing interns.[Methods]A total of 90 questionnaires were distributed and analyzed among nursing interns and patients to evaluate multiple dimensions,including the interns satisfaction with the internship,mastery of clinical knowledge,ideological and political literacy,professional ethics,and social responsibility.[Results]The overall internship satisfaction of nursing interns reached 98.9%,indicating that the course design and teaching model were widely recognized by students.Secondly,the interns demonstrated excellent mastery of clinical knowledge,with 94.0%of students stating they had fully grasped the clinical knowledge taught during the internship,an increase of 18.6%compared to the previous cohort.In terms of ideological and political literacy,98%of students had a better understanding and application of the Nightingale spirit,an increase of 16.2%compared to the previous cohort.Additionally,the sense of professional identity was significantly enhanced,with 95.8%of students showing a stronger sense of identity and responsibility towards the nursing profession,an increase of 14.0%compared to the previous cohort.Patients also gave high evaluations of the interns performance,with 98.8%expressing satisfaction with the students attitude and performance in nursing care.[Conclusions]The curriculum model based on the integration of Nightingale spirit has effectively improved the professional quality,ideological and political quality and professional identity of nursing interns,and has been highly recognized by patients.It not only provides strong support for the practice of combining ideological and political work with professional courses in nursing education,but also provides a reference for the optimization of clinical practice teaching mode of nursing interns in the future.展开更多
Culture teaching is an inseparable part of International Chinese Language Education,and it has great significance in international Chinese language teaching.Students can enhance their interest in Chinese language lear...Culture teaching is an inseparable part of International Chinese Language Education,and it has great significance in international Chinese language teaching.Students can enhance their interest in Chinese language learning and improve their learning effect through understanding the excellent traditional Chinese culture,at the same time,culture teaching can help to disseminate the Chinese culture and promote the development of a multicultural world.Taking the teaching of Chinese New Year culture as an example,we analyze the current teaching materials involving Chinese New Year culture with high popularity and acceptance,put forward effective teaching methods matching the feasibility of teaching Chinese New Year culture,and then present the specific teaching design of Chinese New Year culture,in order to provide references for the teaching of culture in International Chinese Language Education.展开更多
Since the Chinese Constitution does not stipulate the status of international treaties in the domestic legal system,the question of whether the domestic court can apply international human rights treaties keeps obscur...Since the Chinese Constitution does not stipulate the status of international treaties in the domestic legal system,the question of whether the domestic court can apply international human rights treaties keeps obscure all the time.China’s official statement and academic opinions generally believe that the domestic court couldn’t resort to the human rights treaties.In recent years,however,several cases have come out involving direct reference to human rights treaties by the court.The following factors contribute together to the direct reference:the inward-looking nature of international human rights treaties,specific requirements of human rights treaties,and the possible institutional room in Chinas’s current legal system.Take the view off ulfilling international human rights obligations,the practice of judicial application should be fully affirmed.Nevertheless,it should also be noted that relevant practice is still in its infancy,there are some problems such as inconsistent understanding and non-standard application.From the perspective of top-level design,it is necessary to provide a normative basis for the practice of the court,so as to make the international human rights treaties play their due role.展开更多
α-Trifluoromethyl ketones are a class of useful compounds with versatile applications.Their synthetic application via the transformation of the C—F bonds is of particular interest by allowing the synthesis of organi...α-Trifluoromethyl ketones are a class of useful compounds with versatile applications.Their synthetic application via the transformation of the C—F bonds is of particular interest by allowing the synthesis of organic compounds with diverse structures.Herein,the advances in the research areas ofα-trifluoromethyl ketone synthesis and their defluorination reactions are reviewed.Discussion on the mechanisms of the typical reactions has also been provided,in hope of affording some guides to the chemistry ofα-trifluoromethyl ketones in the synthetic methods toward themselves and their derivatives.展开更多
Soil improvement is one of the most important issues in geotechnical engineering practice.The wide application of traditional improvement techniques(cement/chemical materials)are limited due to damage ecological en-vi...Soil improvement is one of the most important issues in geotechnical engineering practice.The wide application of traditional improvement techniques(cement/chemical materials)are limited due to damage ecological en-vironment and intensify carbon emissions.However,the use of microbially induced calcium carbonate pre-cipitation(MICP)to obtain bio-cement is a novel technique with the potential to induce soil stability,providing a low-carbon,environment-friendly,and sustainable integrated solution for some geotechnical engineering pro-blems in the environment.This paper presents a comprehensive review of the latest progress in soil improvement based on the MICP strategy.It systematically summarizes and overviews the mineralization mechanism,influ-encing factors,improved methods,engineering characteristics,and current field application status of the MICP.Additionally,it also explores the limitations and correspondingly proposes prospective applications via the MICP approach for soil improvement.This review indicates that the utilization of different environmental calcium-based wastes in MICP and combination of materials and MICP are conducive to meeting engineering and market demand.Furthermore,we recommend and encourage global collaborative study and practice with a view to commercializing MICP technique in the future.The current review purports to provide insights for engineers and interdisciplinary researchers,and guidance for future engineering applications.展开更多
Grape crops are a great source of income for farmers.The yield and quality of grapes can be improved by preventing and treating diseases.The farmer’s yield will be dramatically impacted if diseases are found on grape...Grape crops are a great source of income for farmers.The yield and quality of grapes can be improved by preventing and treating diseases.The farmer’s yield will be dramatically impacted if diseases are found on grape leaves.Automatic detection can reduce the chances of leaf diseases affecting other healthy plants.Several studies have been conducted to detect grape leaf diseases,but most fail to engage with end users and integrate the model with real-time mobile applications.This study developed a mobile-based grape leaf disease detection(GLDD)application to identify infected leaves,Grape Guard,based on a TensorFlow Lite(TFLite)model generated from the You Only Look Once(YOLO)v8 model.A public grape leaf disease dataset containing four classes was used to train the model.The results of this study were relied on the YOLO architecture,specifically YOLOv5 and YOLOv8.After extensive experiments with different image sizes,YOLOv8 performed better than YOLOv5.YOLOv8 achieved 99.9%precision,100%recall,99.5%mean average precision(mAP),and 88%mAP50-95 for all classes to detect grape leaf diseases.The Grape Guard android mobile application can accurately detect the grape leaf disease by capturing images from grape vines.展开更多
Liquid metals(LMs),because of their ability to remain in a liquid state at room temperature,render them highly versatile for applications in electronics,energy storage,medicine,and robotics.Among various LMs,Ga-based ...Liquid metals(LMs),because of their ability to remain in a liquid state at room temperature,render them highly versatile for applications in electronics,energy storage,medicine,and robotics.Among various LMs,Ga-based LMs exhibit minimal cytotoxicity,low viscosity,high thermal and electrical conductivities,and excellent wettability.Therefore,Ga-based LM composites(LMCs)have emerged as a recent research focus.Recent advancements have focused on novel fabrication techniques and applications spanning energy storage,flexible electronics,and biomedical devices.Particularly noteworthy are the developments in wearable sensors and electronic skins,which hold promise for healthcare monitoring and human-machine interfaces.Despite their potential,challenges,such as oxidative susceptibil-ity and biocompatibility,remain.Creating bio-based LMC materials is a promising approach to address these issues while exploring new avenues to optimize LMC performance and broaden its application domains.This review provides a concise overview of the recent trends in LMC research,highlights their transformative impacts,and outlines key directions for future investigation and development.展开更多
Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BC...Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BCIs,including their fundamental principles,technical advancements,and applications in specific domains.However,these reviews often focus on signal processing,hardware development,or limited applications such as motor rehabilitation or communication.This paper aims to offer a comprehensive review of recent electroencephalogram(EEG)-based BCI applications in the medical field across 8 critical areas,encompassing rehabilitation,daily communication,epilepsy,cerebral resuscitation,sleep,neurodegenerative diseases,anesthesiology,and emotion recognition.Moreover,the current challenges and future trends of BCIs were also discussed,including personal privacy and ethical concerns,network security vulnerabilities,safety issues,and biocompatibility.展开更多
Carbon nanotubes(CNTs)have many excellent properties that make them ideally suited for use in lithium-ion batteries(LIBs).In this review,the recent research on applications of CNTs in LIBs,including their usage as fre...Carbon nanotubes(CNTs)have many excellent properties that make them ideally suited for use in lithium-ion batteries(LIBs).In this review,the recent research on applications of CNTs in LIBs,including their usage as freestanding anodes,conductive additives,and current collectors,are discussed.Challenges,strategies,and progress are analyzed by selecting typical examples.Particularly,when CNTs are used with relatively large mass fractions,the relevant interfacial electrochemistry in such a CNT-based electrode,which dictates the quality of the resulting solid-electrolyte interface,becomes a concern.Hence,in this review the different lithium-ion adsorption and insertion mechanisms inside and outside of CNTs are compared;the influence of not only CNT structural features(including their length,defect density,diameter,and wall thickness)but also the electrolyte composition on the solid-electrolyte interfacial reactions is analyzed in detail.Strategies to optimize the solid-solid interface between CNTs and the other solid components in various composite electrodes are also covered.By emphasizing the importance of such a structure-performance relationship,the merits and weaknesses of various applications of CNTs in various advanced LIBs are clarified.展开更多
文摘The Russia-Ukraine conflict remains unresolved,while the armed conflict between Israel and Palestine continues to escalate,causing significant civilian casualties.To better protect the victims of war in armed conflicts,clarifying the applicability of international human rights law(IHRL)and international humanitarian law(IHL)in such contexts has become an urgent issue.A comparative study on the application of IHRL and IHL needs to address three key questions step by step:First,whether IHRL is applicable during armed conflicts;second,if applicable,how IHRL complements and interacts with IHL;and third,what methods should be adopted to resolve conflicts when IHRL and IHL are applied concurrently.In this context,an analysis of the historical development of IHRL and IHL reveals that the two share a common philosophical foundation,and thus they can be applied concurrently during armed conflicts.From an empirical perspective,IHRL engages with IHL through two approaches:interpreting IHL provisions and directly applying IHRL to armed conflicts,thereby fostering interactive development between the two.In cases where normative conflicts arise between IHRL and IHL,such as in the rules on the use of force and internment procedures,the principles of systemic integration and lex specialis can reconcile these conflicts during the application process.
文摘ropic 1:Regarding sustainable development and global public interests,what should international Al standards focus on?James Ong:Since 2019,I have witnessed the evolution of WAIC and found that a consensus on the philosophical and ethic level on advocating“AI for humanity”is necessary,since ethics factor carries more weight in standards development.I want to emphasize three points:AI assisting sustainable development,AI empowering a balanced global development,and human-AI coordination for preventing AI risks.
文摘In the context of the rapid iteration of information technology,the Internet of Things(IoT)has established itself as a pivotal hub connecting the digital world and the physical world.Wireless Sensor Networks(WSNs),deeply embedded in the perception layer architecture of the IoT,play a crucial role as“tactile nerve endings.”A vast number of micro sensor nodes are widely distributed in monitoring areas according to preset deployment strategies,continuously and accurately perceiving and collecting real-time data on environmental parameters such as temperature,humidity,light intensity,air pressure,and pollutant concentration.These data are transmitted to the IoT cloud platform through stable and reliable communication links,forming a massive and detailed basic data resource pool.By using cutting-edge big data processing algorithms,machine learning models,and artificial intelligence analysis tools,in-depth mining and intelligent analysis of these multi-source heterogeneous data are conducted to generate high-value-added decision-making bases.This precisely empowers multiple fields,including agriculture,medical and health care,smart home,environmental science,and industrial manufacturing,driving intelligent transformation and catalyzing society to move towards a new stage of high-quality development.This paper comprehensively analyzes the technical cores of the IoT and WSNs,systematically sorts out the advanced key technologies of WSNs and the evolution of their strategic significance in the IoT system,deeply explores the innovative application scenarios and practical effects of the two in specific vertical fields,and looks forward to the technological evolution trends.It provides a detailed and highly practical guiding reference for researchers,technical engineers,and industrial decision-makers.
文摘As an appropriate technique in Traditional Chinese Medicine nursing,intradermal acupuncture involves inserting a small needle into the skin at an acupoint or within the skin to treat diseases.This fully embodies the characteristics of Traditional Chinese Medicine nursing techniques:simplicity,convenience,affordability,and effectiveness.Currently,intradermal acupuncture has been widely used in clinical practice.This paper introduces the history,mechanism of action,and principle of acupoint selection of intradermal acupuncture and summarizes the application of intradermal acupuncture in common internal medicine diseases to promote their dissemination and use.
基金supported by the National Key R&D Program of China(No.2024YFB4007501)the Natural Science Foundation of Jiangsu Province(No.BK20240109)the project of Jiangsu Key Laboratory for Clean Utilization of Carbon Resources(No.BM2024007).
文摘Low-concentration coal mine methane(LC-CMM),which is predominantly composed of methane,serves as a clean and low-carbon energy resource with significant potential for utilization.Utilizing LC-CMM as fuel for solid oxide fuel cells(SOFCs)represents an efficient and promising strategy for its effective utilization.However,direct application in Ni-based anodes induces carbon deposition,which severely degrades cell performance.Herein,a medium-entropy oxide Sr_(2)FeNi_(0.1)Cr_(0.3)Mn_(0.3)Mo_(0.3)O_(6−δ)(SFNCMM)was developed as an anode internal reforming catalyst.Following reduction treatment,FeNi_(3) nano-alloy particles precipitate on the surface of the material,thereby significantly enhancing its catalytic activity for LC-CMM reforming process.The catalyst achieved a methane conversion rate of 53.3%,demonstrating excellent catalytic performance.Electrochemical evaluations revealed that SFNCMM-Gd_(0.1)Ce_(0.9)O_(2−δ)(GDC)with a weight ratio of 7:3 exhibited superior electrochemical performance when employed as the anodic catalytic layer.With H_(2) and LC-CMM as fuels,the single cell achieved maximum power densities of 1467.32 and 1116.97 mW·cm^(−2) at 800℃,respectively,with corresponding polarization impedances of 0.17 and 1.35Ω·cm^(2).Furthermore,the single cell maintained stable operation for over 100 h under LC-CMM fueling without significant carbon deposition,confirming its robust resistance to carbon formation.These results underscore the potential of medium-entropy oxides as highly effective catalytic layers for mitigating carbon deposition in SOFCs.
基金The author Dr.Arshiya Sajid Ansari extends the appreciation to the Deanship of Postgraduate Studies and Scientific Research at Majmaah University for funding this research work through the project number(R-2025-1706).
文摘IoT has emerged as a game-changing technology that connects numerous gadgets to networks for communication,processing,and real-time monitoring across diverse applications.Due to their heterogeneous nature and constrained resources,as well as the growing trend of using smart gadgets,there are privacy and security issues that are not adequately managed by conventional securitymeasures.This review offers a thorough analysis of contemporary AI solutions designed to enhance security within IoT ecosystems.The intersection of AI technologies,including ML,and blockchain,with IoT privacy and security is systematically examined,focusing on their efficacy in addressing core security issues.The methodology involves a detailed exploration of existing literature and research on AI-driven privacy-preserving security mechanisms in IoT.The reviewed solutions are categorized based on their ability to tackle specific security challenges.The review highlights key advancements,evaluates their practical applications,and identifies prevailing research gaps and challenges.The findings indicate that AI solutions,particularly those leveraging ML and blockchain,offerpromising enhancements to IoT privacy and security by improving threat detection capabilities and ensuring data integrity.This paper highlights how AI technologies might strengthen IoT privacy and security and offer suggestions for upcoming studies intended to address enduring problems and improve the robustness of IoT networks.
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R104)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia。
文摘In today’s digital world,the Internet of Things(IoT)plays an important role in both local and global economies due to its widespread adoption in different applications.This technology has the potential to offer several advantages over conventional technologies in the near future.However,the potential growth of this technology also attracts attention from hackers,which introduces new challenges for the research community that range from hardware and software security to user privacy and authentication.Therefore,we focus on a particular security concern that is associated with malware detection.The literature presents many countermeasures,but inconsistent results on identical datasets and algorithms raise concerns about model biases,training quality,and complexity.This highlights the need for an adaptive,real-time learning framework that can effectively mitigate malware threats in IoT applications.To address these challenges,(i)we propose an intelligent framework based on Two-step Deep Reinforcement Learning(TwStDRL)that is capable of learning and adapting in real-time to counter malware threats in IoT applications.This framework uses exploration and exploitation phenomena during both the training and testing phases by storing results in a replay memory.The stored knowledge allows the model to effectively navigate the environment and maximize cumulative rewards.(ii)To demonstrate the superiority of the TwStDRL framework,we implement and evaluate several machine learning algorithms for comparative analysis that include Support Vector Machines(SVM),Multi-Layer Perceptron,Random Forests,and k-means Clustering.The selection of these algorithms is driven by the inconsistent results reported in the literature,which create doubt about their robustness and reliability in real-world IoT deployments.(iii)Finally,we provide a comprehensive evaluation to justify why the TwStDRL framework outperforms them in mitigating security threats.During analysis,we noted that our proposed TwStDRL scheme achieves an average performance of 99.45%across accuracy,precision,recall,and F1-score,which is an absolute improvement of roughly 3%over the existing malware-detection models.
基金Teacher Teaching and Educational Research Project of Shanghai University of Medicine and Health Sciences in 2024(Project No.:CFDY20240035)。
文摘Objective:To explore the application effect of Problem-Based Learning(PBL)teaching method based on situational simulation videos in undergraduate teaching of internal medicine,and to provide practical basis for optimizing the undergraduate teaching mode of internal medicine and improving teaching quality.Methods:A total of 32 undergraduate students majoring in clinical medicine(Grade 2021)from Shanghai University of Medicine&Health Sciences were selected as the research subjects.They were divided into an experimental group and a control group by random number table method,with 16 students in each group.The control group adopted the traditional PBL teaching method,while the experimental group used the PBL teaching method based on situational simulation videos.After the teaching,the mastery of theoretical knowledge of students in the two groups was evaluated by examinations;a questionnaire survey was conducted to assess students’self-perceived improvement in clinical thinking,learning interest,self-directed learning ability and teamwork ability;statistical methods were used to analyze the data.Results:The scores of theoretical knowledge examination of students in the experimental group were significantly higher than those in the control group,and the difference was statistically significant(p<0.05).In terms of self-evaluation,the experimental group showed better performance than the control group in the cultivation of clinical thinking,learning interest and selfdirected learning ability,with statistically significant differences(p<0.05);however,there was no statistically significant difference in the self-evaluation of teamwork ability between the two groups(p>0.05).Conclusion:The PBL teaching method based on situational simulation videos can effectively improve students’level of theoretical knowledge,enhance their clinical thinking,learning interest and self-directed learning ability in undergraduate teaching of internal medicine,and is worthy of further promotion and application in undergraduate teaching of internal medicine.
基金supported by the National Natural Science Foundation of China(Grant No.42004103)Sichuan Science and Technology Program(2023NSFSC0257)the CNPC Innovation Found(2022DQ02-0306).
文摘Internal multiple interference,affecting both seismic data processing and interpretation,has been observed for long time.Although great progress has been achieved in developing a variety of internal-multiple-elimination(IME)methods,how to increase accuracy and reduce cost of IME still poses a significant challenge.A new method is proposed to effectively and efficiently eliminate internal multi-ples,along with its application in internal-multiple-eliminated-migration(IMEM),addressing this issue.This method stems from two-way wave equation depth-extrapolation scheme and associated up/down wavefield separation,which can accomplish depth-extrapolation of both up-going and down-going wavefields simultaneously,and complete internal-multiple-elimination processing,adaptively and effi-ciently.The proposed method has several features:(1)input data is same as that for conventional migration:source signature(used for migration only),macro velocity model,and receiver data,without additional requirements for source/receiver sampling;(2)method is efficient,without need of iterative calculations(which are typically needed for most of IME algorithms);and(3)method is cost effective:IME is completed in the same depth-extrapolation scheme of IMEM,without need of a separate pro-cessing and additional cost.Several synthesized data models are used to test the proposed method:one-dimensional model,horizontal layered model,multi-layer model with one curved layer,and SEG/EAGE Salt model.Additionally,we perform a sensitivity analysis of velocity using smoothed models.This analysis reveals that although the accuracy of velocity measurements impacts our proposed method,it significantly reduces internal multiple false imaging compared to traditional RTM techniques.When applied to actual seismic data from a carbonate reservoir zone,our method demonstrates superior clarity in imaging results,even in the presence of high-velocity carbonate formations,outperforming conven-tional migration methods in deep strata.
基金Supported by 2024 Basic Research and Applied Basic Research Project in Neijiang City(2024 NJJCYJZZXR001)。
文摘[Objectives]To explore the effectiveness of integrating ideological and political education based on the Nightingale spirit into the clinical practice curriculum for nursing interns.[Methods]A total of 90 questionnaires were distributed and analyzed among nursing interns and patients to evaluate multiple dimensions,including the interns satisfaction with the internship,mastery of clinical knowledge,ideological and political literacy,professional ethics,and social responsibility.[Results]The overall internship satisfaction of nursing interns reached 98.9%,indicating that the course design and teaching model were widely recognized by students.Secondly,the interns demonstrated excellent mastery of clinical knowledge,with 94.0%of students stating they had fully grasped the clinical knowledge taught during the internship,an increase of 18.6%compared to the previous cohort.In terms of ideological and political literacy,98%of students had a better understanding and application of the Nightingale spirit,an increase of 16.2%compared to the previous cohort.Additionally,the sense of professional identity was significantly enhanced,with 95.8%of students showing a stronger sense of identity and responsibility towards the nursing profession,an increase of 14.0%compared to the previous cohort.Patients also gave high evaluations of the interns performance,with 98.8%expressing satisfaction with the students attitude and performance in nursing care.[Conclusions]The curriculum model based on the integration of Nightingale spirit has effectively improved the professional quality,ideological and political quality and professional identity of nursing interns,and has been highly recognized by patients.It not only provides strong support for the practice of combining ideological and political work with professional courses in nursing education,but also provides a reference for the optimization of clinical practice teaching mode of nursing interns in the future.
文摘Culture teaching is an inseparable part of International Chinese Language Education,and it has great significance in international Chinese language teaching.Students can enhance their interest in Chinese language learning and improve their learning effect through understanding the excellent traditional Chinese culture,at the same time,culture teaching can help to disseminate the Chinese culture and promote the development of a multicultural world.Taking the teaching of Chinese New Year culture as an example,we analyze the current teaching materials involving Chinese New Year culture with high popularity and acceptance,put forward effective teaching methods matching the feasibility of teaching Chinese New Year culture,and then present the specific teaching design of Chinese New Year culture,in order to provide references for the teaching of culture in International Chinese Language Education.
基金a staged achievement of the National Social Science Foundation Projects Research on the Legal Status and Institutional Design of International Treaties in China’s Legal System(Project Number:14BFX186)
文摘Since the Chinese Constitution does not stipulate the status of international treaties in the domestic legal system,the question of whether the domestic court can apply international human rights treaties keeps obscure all the time.China’s official statement and academic opinions generally believe that the domestic court couldn’t resort to the human rights treaties.In recent years,however,several cases have come out involving direct reference to human rights treaties by the court.The following factors contribute together to the direct reference:the inward-looking nature of international human rights treaties,specific requirements of human rights treaties,and the possible institutional room in Chinas’s current legal system.Take the view off ulfilling international human rights obligations,the practice of judicial application should be fully affirmed.Nevertheless,it should also be noted that relevant practice is still in its infancy,there are some problems such as inconsistent understanding and non-standard application.From the perspective of top-level design,it is necessary to provide a normative basis for the practice of the court,so as to make the international human rights treaties play their due role.
文摘α-Trifluoromethyl ketones are a class of useful compounds with versatile applications.Their synthetic application via the transformation of the C—F bonds is of particular interest by allowing the synthesis of organic compounds with diverse structures.Herein,the advances in the research areas ofα-trifluoromethyl ketone synthesis and their defluorination reactions are reviewed.Discussion on the mechanisms of the typical reactions has also been provided,in hope of affording some guides to the chemistry ofα-trifluoromethyl ketones in the synthetic methods toward themselves and their derivatives.
基金funded by the National Natural Science Foundation of China(No.41962016)the Natural Science Foundation of NingXia(Nos.2023AAC02023,2023A1218,and 2021AAC02006).
文摘Soil improvement is one of the most important issues in geotechnical engineering practice.The wide application of traditional improvement techniques(cement/chemical materials)are limited due to damage ecological en-vironment and intensify carbon emissions.However,the use of microbially induced calcium carbonate pre-cipitation(MICP)to obtain bio-cement is a novel technique with the potential to induce soil stability,providing a low-carbon,environment-friendly,and sustainable integrated solution for some geotechnical engineering pro-blems in the environment.This paper presents a comprehensive review of the latest progress in soil improvement based on the MICP strategy.It systematically summarizes and overviews the mineralization mechanism,influ-encing factors,improved methods,engineering characteristics,and current field application status of the MICP.Additionally,it also explores the limitations and correspondingly proposes prospective applications via the MICP approach for soil improvement.This review indicates that the utilization of different environmental calcium-based wastes in MICP and combination of materials and MICP are conducive to meeting engineering and market demand.Furthermore,we recommend and encourage global collaborative study and practice with a view to commercializing MICP technique in the future.The current review purports to provide insights for engineers and interdisciplinary researchers,and guidance for future engineering applications.
文摘Grape crops are a great source of income for farmers.The yield and quality of grapes can be improved by preventing and treating diseases.The farmer’s yield will be dramatically impacted if diseases are found on grape leaves.Automatic detection can reduce the chances of leaf diseases affecting other healthy plants.Several studies have been conducted to detect grape leaf diseases,but most fail to engage with end users and integrate the model with real-time mobile applications.This study developed a mobile-based grape leaf disease detection(GLDD)application to identify infected leaves,Grape Guard,based on a TensorFlow Lite(TFLite)model generated from the You Only Look Once(YOLO)v8 model.A public grape leaf disease dataset containing four classes was used to train the model.The results of this study were relied on the YOLO architecture,specifically YOLOv5 and YOLOv8.After extensive experiments with different image sizes,YOLOv8 performed better than YOLOv5.YOLOv8 achieved 99.9%precision,100%recall,99.5%mean average precision(mAP),and 88%mAP50-95 for all classes to detect grape leaf diseases.The Grape Guard android mobile application can accurately detect the grape leaf disease by capturing images from grape vines.
基金supported by the GRDC(Global Research Development Center)Cooperative Hub Program through the National Research Foundation of Korea(NRF),funded by the Ministry of Science and ICT(MSIT)(No.RS-2023-00257595).
文摘Liquid metals(LMs),because of their ability to remain in a liquid state at room temperature,render them highly versatile for applications in electronics,energy storage,medicine,and robotics.Among various LMs,Ga-based LMs exhibit minimal cytotoxicity,low viscosity,high thermal and electrical conductivities,and excellent wettability.Therefore,Ga-based LM composites(LMCs)have emerged as a recent research focus.Recent advancements have focused on novel fabrication techniques and applications spanning energy storage,flexible electronics,and biomedical devices.Particularly noteworthy are the developments in wearable sensors and electronic skins,which hold promise for healthcare monitoring and human-machine interfaces.Despite their potential,challenges,such as oxidative susceptibil-ity and biocompatibility,remain.Creating bio-based LMC materials is a promising approach to address these issues while exploring new avenues to optimize LMC performance and broaden its application domains.This review provides a concise overview of the recent trends in LMC research,highlights their transformative impacts,and outlines key directions for future investigation and development.
基金supported by the National Key R&D Program of China(2021YFF1200602)the National Science Fund for Excellent Overseas Scholars(0401260011)+3 种基金the National Defense Science and Technology Innovation Fund of Chinese Academy of Sciences(c02022088)the Tianjin Science and Technology Program(20JCZDJC00810)the National Natural Science Foundation of China(82202798)the Shanghai Sailing Program(22YF1404200).
文摘Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BCIs,including their fundamental principles,technical advancements,and applications in specific domains.However,these reviews often focus on signal processing,hardware development,or limited applications such as motor rehabilitation or communication.This paper aims to offer a comprehensive review of recent electroencephalogram(EEG)-based BCI applications in the medical field across 8 critical areas,encompassing rehabilitation,daily communication,epilepsy,cerebral resuscitation,sleep,neurodegenerative diseases,anesthesiology,and emotion recognition.Moreover,the current challenges and future trends of BCIs were also discussed,including personal privacy and ethical concerns,network security vulnerabilities,safety issues,and biocompatibility.
基金Xiamen Science and Technology Project,Grant/Award Number:3502Z20231057National Key Research and Development Program of China,Grant/Award Number:3502Z20231057National Natural Science Foundation of China,Grant/Award Numbers:22279107,22288102。
文摘Carbon nanotubes(CNTs)have many excellent properties that make them ideally suited for use in lithium-ion batteries(LIBs).In this review,the recent research on applications of CNTs in LIBs,including their usage as freestanding anodes,conductive additives,and current collectors,are discussed.Challenges,strategies,and progress are analyzed by selecting typical examples.Particularly,when CNTs are used with relatively large mass fractions,the relevant interfacial electrochemistry in such a CNT-based electrode,which dictates the quality of the resulting solid-electrolyte interface,becomes a concern.Hence,in this review the different lithium-ion adsorption and insertion mechanisms inside and outside of CNTs are compared;the influence of not only CNT structural features(including their length,defect density,diameter,and wall thickness)but also the electrolyte composition on the solid-electrolyte interfacial reactions is analyzed in detail.Strategies to optimize the solid-solid interface between CNTs and the other solid components in various composite electrodes are also covered.By emphasizing the importance of such a structure-performance relationship,the merits and weaknesses of various applications of CNTs in various advanced LIBs are clarified.
